Relational Database Management System (RDBMS) is a DBMS software that helps to interact with databases. They use Structured Query Language (SQL) to interact with the data stored in tables. Teradata is a popular Relational Database Management System (RDBMS) suitable for large data warehousing applications. It is capable of handling large volumes of data and is highly scalable. Teradata achieves this by the concept of parallelism.
Features of Teradata
• Unlimited Parallelism − Teradata database system is based on Massively Parallel Processing (MPP) Architecture. MPP architecture divides the workload evenly across the entire system. Teradata system splits the task among its processes and runs them in parallel to ensure that the task is completed quickly.
• Shared Nothing Architecture − Teradata’s architecture is called as Shared Nothing Architecture. Teradata Nodes, its Access Module Processors (AMPs) and the disks associated with AMPs work independently. They are not shared with others.
• Linear Scalability − Teradata systems are highly scalable. They can scale up to 2048 Nodes. For example, you can double the capacity of the system by doubling the number of AMPs.
• Connectivity − Teradata can connect to Channel-attached systems such as Mainframe or Network-attached systems.
• Mature Optimizer − Teradata optimizer is one of the matured optimizer in the market. It has been designed to be parallel since its beginning. It has been refined for each release.
• SQL − Teradata supports industry standard SQL to interact with the data stored in tables. In addition to this, it provides its own extension.
• Robust Utilities − Teradata provides robust utilities to import/export data from/to Teradata system such as FastLoad, MultiLoad, FastExport and TPT.
• Automatic Distribution − Teradata automatically distributes the data evenly to the disks without any manual intervention.
• The major components of Teradata are Parsing Engine, BYNET and Access Module Processors (AMPs).